Engineering Lead, Real-Time Fraud Platform

LexisNexis Risk Solutions

Arizona

Hybrid

USD 115.000 - 192.000

Vollzeit

14 Tage+

Eine vollständige Bewerbung in einer Minute

Maßgeschneiderter Lebenslauf und Anschreiben – versandbereit.

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Zusammenfassung

LexisNexis Risk Solutions is seeking a Software Engineering Lead to guide a team in designing and delivering complex web and API-based fraud prevention products. You will mentor engineers, drive engineering excellence, and collaborate across teams to deliver scalable, high-impact solutions.

The role combines hands-on technical leadership with people management, emphasizing strong data modeling, performance, and best practices across Agile, Waterfall, and CI/CD workflows.

Qualifikationen

  • 7+ years of Software Engineering experience with leadership exposure.
  • BS Engineering/Computer Science or equivalent required.
  • Advanced knowledge of Agile, Waterfall, and DORA.
  • Experience leading internal and external technology resources.

Aufgaben

  • Serve as the initial point of escalation for software development issues.
  • Translate requirements into software designs with development team.
  • Mentor and train entry-level engineers.
  • Implement development processes, coding best practices, and code reviews.
  • Collaborate across teams and ensure timely delivery of features.
  • Operate in Agile, Waterfall, CI/CD environments and coordinate with stakeholders.
  • Keep abreast of new technology developments.

Kenntnisse

Software architecture
Team leadership
Agile / Waterfall / DORA
C#/.NET
JavaScript
SQL
Data modeling
Mentoring
Communication skills

Ausbildung

BS Engineering/Computer Science or equivalent

Jobbeschreibung

LexisNexis Risk Solutions is seeking a Software Engineering Lead to guide a team in designing and delivering complex web and API-based fraud prevention products. You will mentor engineers, drive engineering excellence, and collaborate across teams to deliver scalable, high-impact solutions.

The role combines hands-on technical leadership with people management, emphasizing strong data modeling, performance, and best practices across Agile, Waterfall, and CI/CD workflows.

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